Evaluate the design space of the dataset

Assignment Help Other Subject
Reference no: EM131282281

Background

Due to advances in information technology and high performance computing, and an expansion in the number of sensors integrated into manufacturing systems and products in the world, very large data sets are becoming available to engineers; often in real-time form. The rate of production of such data far outstrips our ability to analyze them manually. For example, a computational simulation can generate terabytes of data within a few hours, whereas human analysts may take several weeks to analyze these data sets. Other examples include several digital sky surveys, and data sets from the fields of medical imaging, bioinformatics, and remote sensing. As a result, there is an increasing interest in various scientific communities to explore the use of emerging data mining techniques for the analysis of these large data sets.

Data mining is the semi-automatic discovery of patterns, associations, changes, anomalies, and statistically significant structures and events in data. Traditional data analysis is assumption driven as a hypothesis is formed and validated against the data. Data mining, in contrast, is discovery driven as the patterns are automatically extracted from data.

Goals

Your task in this project is to leverage existing datasets provided by Dr.s Hallinan or Reissman or datasets emerging form any other source to create data-mining models to derive useful information about the data. In the process, you will (or may):

- Gain experience in managing large or pretty large datasets
- Evaluate the ‘design space' of the dataset - as the models developed can only work in the ‘design space' covered by the data
- Eliminate outliers in the dataset, e.g., points that don't well represent the normal data points however that is defined
- Identify the input factors (predictors) that contribute most strongly to the prediction of target factors (response)
- Develop data-mining based models that enable prediction of the target factors, working to minimize the error between the predicted and actual target factors.

Datasets

The UC Irvine Machine Learning Repository currently maintain 351 data sets as a service to the machine learning community. You can use any of the datasets hosted on this site.

Were you to use one of the datasets, you need to provide Dr. Hallinan a description of the dataset you will be using and your goal(s) for information creation from the dataset.

Deliverables

Each project will be somewhat different. However, the expected deliverables should minimally include the following. First, submit a Word file that has the following sections.

I. Known: Describe what you knowabout your(in a bulleted format). This includes the dataset used.

II. Visualize: Key to any project is a visualization of the provided data. The visualization should be an aid to how you look at the data and should potentially inform what your goals are.

III. Goals: Describe the end goal(s) in a bulleted format. Please be sure to justify the specific human thermal comfort conditions you will be seeking in your design.

IV. Factors: Define factors (input and target) considered in your analysis.

V. Design Space: Establish the design space for your model. Ideally this will include histograms of the input or predictor variables to establish the valid space for models created.

VI. Outliers (if applicable): Identify outlier data points. These data points should be moved from your model data. An outlier plot is essential.

VII. Factor Importance: Present results ranking the input factors in terms of the influence on the final model. It is important for your final model to include only input factors that actually influence the goodness of the model.

VIII. Model: Present model results; ideally showing the quality of your model predictions (both visually and through statistical metrics, e.g, r2). You should present validation results that show how your models have improved through use of different data-mining approaches or variants of one approach. For example, if outliers are removed, you should show the value of doing so in terms of the model results.

IX. Conclusions: Summarize information created from your data mining.

X. Individual Hot-Wash:Describe what you learned from this project. Describe also if you will consider using R-based data-mining in your future career.

In one zip file, include the following:
- Word File addressing the deliverables.
- R-script file(s) used in your analysis. Please be sure to comment your script.
- R-data files with saved input and processed data.

Attachment:- Data set.zip

Reference no: EM131282281

Questions Cloud

Provide a counterargument to each of those three assumptions : Provide a counterargument to each of those three assumptions. Again, be specific and give examples - do not regurgitate the textbook - tell me in your own words.
Determine the phase estimate of the unknown carrier phase : Given Figure shows the block diagram of a phase-synchronization system. Determine the phase estimate of the unknown carrier phase in the received signal x ( t ).
Determine the water inlet and outlet temperatures : Determine the overall heat transfer coefficient between the steam and the water based on the outer area of the copper pipe and sketch the thermal circuit.
What is the business environment like for jennifer : What is the business environment like for Jennifer? What other areas should she consider? What ethical and social responsibility issues should Jennifer consider in this business?
Evaluate the design space of the dataset : Gain experience in managing large or pretty large datasets and - Evaluate the ‘design space' of the dataset - as the models developed can only work in the ‘design space' covered by the data
Calculate the rate of heat transfer by convection : Mercury flows inside a copper tube 9 m long with a 5.1- cm inside diameter at an average velocity of 7 m/s. The temperature at the inside surface of the tube is 38°C uniformly throughout the tube, and the arithmetic mean bulk temperature of the me..
Explain the disadvantages of outsourcing : Identify and describe five channels utilized by firms attempting to enter a foreign market.Explain the disadvantages of outsourcing
Describe and illustrate the process of normalizing : Describe and illustrate the process of normalizing the above table to 3NF. State any assumptions you make about the data shown in this table. Identify the functional dependencies represented by the attributes show in the 3NF tables.
Explain the virtual monopoly position : Explain the virtual monopoly position that Alcoa enjoyed until World War II: public policy, tariff protection, the failure of Alcoa's few potential competitors, and the limited checks of antitrust before World War I.

Reviews

len1282281

11/19/2016 4:23:11 AM

I need help with my R-Studio project. Please see attachment for both Project description and Data that will be used United States student Please confirm by replying the following query: Using the data set provided by me "student" that was downloaded from this website http://archive.ics.uci.edu/ml/datasets/STUDENT+ALCOHOL+CONSUMPTION Can the expert answer the question " Who consumes more Alcohol, Male or Female and which gender has better grades? " proving that using R-studio scripts and graphs ?

Write a Review

Other Subject Questions & Answers

  Cross-cultural opportunities and conflicts in canada

Short Paper on Cross-cultural Opportunities and Conflicts in Canada.

  Sociology theory questions

Sociology are very fundamental in nature. Role strain and role constraint speak about the duties and responsibilities of the roles of people in society or in a group. A short theory about Darwin and Moths is also answered.

  A book review on unfaithful angels

This review will help the reader understand the social work profession through different concepts giving the glimpse of why the social work profession might have drifted away from its original purpose of serving the poor.

  Disorder paper: schizophrenia

Schizophrenia does not really have just one single cause. It is a possibility that this disorder could be inherited but not all doctors are sure.

  Individual assignment: two models handout and rubric

Individual Assignment : Two Models Handout and Rubric,    This paper will allow you to understand and evaluate two vastly different organizational models and to effectively communicate their differences.

  Developing strategic intent for toyota

The following report includes the description about the organization, its strategies, industry analysis in which it operates and its position in the industry.

  Gasoline powered passenger vehicles

In this study, we examine how gasoline price volatility and income of the consumers impacts consumer's demand for gasoline.

  An aspect of poverty in canada

Economics thesis undergrad 4th year paper to write. it should be about 22 pages in length, literature review, economic analysis and then data or cost benefit analysis.

  Ngn customer satisfaction qos indicator for 3g services

The paper aims to highlight the global trends in countries and regions where 3G has already been introduced and propose an implementation plan to the telecom operators of developing countries.

  Prepare a power point presentation

Prepare the power point presentation for the case: Santa Fe Independent School District

  Information literacy is important in this environment

Information literacy is critically important in this contemporary environment

  Associative property of multiplication

Write a definition for associative property of multiplication.

Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd